1. Design and methods of a postmarketing pharmacoepidemiology study assessing long‐term safety of Prolia ® (denosumab) for the treatment of postmenopausal osteoporosis
- Author
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Cathy W. Critchlow, Fei Xue, Rachel B. Wagman, Catherine Stehman-Breen, Haijun Ma, Christine A. Haller, and Leonid Katz
- Subjects
medicine.medical_specialty ,pharmacoepidemiology ,Epidemiology ,Denmark ,Osteoporosis ,postmarketing drug safety ,Antibodies, Monoclonal, Humanized ,Cohort Studies ,postmenopausal osteoporosis ,Risk Factors ,pharmacoepidemiology methods ,Original Reports ,Pharmacovigilance ,medicine ,Humans ,Pharmacology (medical) ,Intensive care medicine ,Adverse effect ,Osteoporosis, Postmenopausal ,database ,Aged ,Bone Density Conservation Agents ,business.industry ,Prolia® (denosumab) ,Middle Aged ,Pharmacoepidemiology ,medicine.disease ,United States ,Surgery ,Treatment Outcome ,Denosumab ,pharmacovigilance ,Population study ,Female ,Diagnosis code ,Safety ,business ,Osteonecrosis of the jaw ,Follow-Up Studies ,medicine.drug - Abstract
Purpose To describe the rationale and methods for a prospective, open-cohort study assessing the long-term safety of Prolia® for treatment of postmenopausal osteoporosis (PMO) in postmarketing settings. Methods Data will be derived from United States Medicare, United Healthcare, and Nordic (Denmark, Sweden, Norway) national registries. Observation will begin on the date of first Prolia® regulatory approval (May 26, 2010) and continue for 10 years. Women with PMO will be identified by postmenopausal age, osteoporosis diagnosis, osteoporotic fracture, or osteoporosis treatment. Exposure to Prolia® and bisphosphonates will be updated during follow-up; exposure cohorts will be defined based on patient-years during which patients are on- or post-treatment. Nine adverse events (AEs) will be assessed based on diagnosis codes: osteonecrosis of the jaw (ONJ), atypical femoral fracture (AFF), fracture healing complications, hypocalcemia, infection, dermatologic AEs, acute pancreatitis, hypersensitivity, and new primary malignancy. Medical review will confirm selected potential cases of ONJ and AFF. Incidence rates (IRs) of AEs will be described overall and for exposure cohorts; multivariate Cox proportional hazard regression models will compare IRs of AEs across exposure cohorts. Utilization patterns of Prolia® for approved, and unapproved indications will be described. Conclusion This study is based on comprehensive preliminary research and considers methodological challenges specific to the study population. The integrated data systems used in this regulatory committed program can serve as a powerful data resource to assess diverse and rare AEs over time. © 2013 Amgen Inc. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons, Ltd.
- Published
- 2013
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